Iterative algorithms approach to a general system of nonlinear variational inequalities with perturbed mappings and fixed point problems for nonexpansive semigroups
In this paper, we introduce new iterative algorithms for finding a common element of the set of solutions of a general system of nonlinear variational inequalities with perturbed mappings and the set of common fixed points of a one-parameter nonexpansive semigroup in Banach spaces. Furthermore, we prove the strong convergence theorems of the sequence generated by these iterative algorithms under some suitable conditions. The results obtained in this paper extend the recent ones announced by many others. Mathematics Subject Classification (2010): 47H09, 47J05, 47J25, 49J40, 65J15
Sunthrayuth and KumamJournal of Inequalities and Applications2012,2012:133 http://www.journalofinequalitiesandapplications.com/content/2012/1/133
R E S E A R C HOpen Access Iterative algorithms approach to a general system of nonlinear variational inequalities with perturbed mappings and fixed point problems for nonexpansive semigroups * Pongsakorn Sunthrayuth and Poom Kumam
* Correspondence: poom. kum@kmutt.ac.th Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangmod, Bangkok 10140, Thailand
Abstract In this paper, we introduce new iterative algorithms for finding a common element of the set of solutions of a general system of nonlinear variational inequalities with perturbed mappings and the set of common fixed points of a oneparameter nonexpansive semigroup in Banach spaces. Furthermore, we prove the strong convergence theorems of the sequence generated by these iterative algorithms under some suitable conditions. The results obtained in this paper extend the recent ones announced by many others. Mathematics Subject Classification (2010):47H09, 47J05, 47J25, 49J40, 65J15 Keywords:oneparameter nonexpansive semigroup, perturbed mapping, iterative algorithm, variational inequality, strong convergence, Banach space, common fixed points
1 Introduction Variational inequality theory has been studied widely in several branches of pure and applied sciences. Indeed, applications of variational inequalities span as diverse disci plines as differential equations, timeoptimal control, optimization, mathematical pro gramming, mechanics, finance, and so on (see, e.g., [1,2] for more details). Note that most of the variational problems include minimization or maximization of functions, variational inequality problems, quasivariational inequality problems, decision and management sciences, and engineering sciences problems. For more details, we recom mend the reader [38,2931]. LetXbe a real Banach space, andX* be its dual space. Theduality mapping ∗ X is defined by J:X→2 ∗2 J(x)=f∈X:x,f=||x||,||f||=||x||,
where〈∙, ∙〉denotes the duality pairing betweenXandX*. IfX: =His a real Hilbert space, thenJ=IwhereIis the identity mapping. It is well known that ifXis smooth, thenJis singlevalued, which is denoted byj(see [9]).
Sunthrayuth and KumamJournal of Inequalities and Applications2012,2012:133 http://www.journalofinequalitiesandapplications.com/content/2012/1/133
LetCbe a nonempty closed and convex subset ofXandTbe a selfmapping ofC. We denote®and⇀by strong and weak convergence, respectively. Recall that a map pingT:C®Cis said to beLLipschitzianif there exists a constantL >0 such that ||Tx−Ty|| ≤L||x−y||,∀x,y∈C. If 0 <L< 1, thenTis a contraction and ifL= 1, thenTis a nonexpansive mapping. We denote by Fix(T) the set of all fixed points set of the mappingT, i.e., Fix(T) = {xÎ C:Tx=x}. A mappingF:C®Xis said to beaccretiveif there existsj(xy)ÎJ(xy) such that Fx−Fy,j x−y≥0,∀x,y∈C. A mappingF:C®Xis said to bestrongly accretiveif there exists a constanth> 0 andj(x y)ÎJ(x y) such that 2 Fx−Fy,j x−y≥η||x−y||,∀x,y∈C. Remark1.1. IfX: =His a real Hilbert space, accretive and strongly accretive map pings coincide with monotone and strongly monotone mappings, respectively. LetHbe a real Hilbert space, whose inner product and norm are denoted by〈∙, ∙〉and ||∙||, respectively. LetAbe a strongly positive bounded linear operator onH, that is, there exists a constantγ >0such that 2 Ax,x ≥γ||x||,∀x∈H.(1:1) Remark1.2. From the definition of operatorA, we note that a strongly positive bounded linear operatorAis a ||A||Lipschitzian andhstrongly monotone operator. LetCbe a nonempty closed and convex subset of a real Banach spaceX. Recall that theclassical variational inequalityis to findx*ÎCsuch that ∗ ∗ x,j x−x≥0,∀x∈C,(1:2) whereΨ:C®Xis a nonlinear mapping andj(xx*)ÎJ(xx*). The set of solution of variational inequality is denoted byVI(C,Ψ). IfX: =His a real Hilbert space, then (1.2) reduces to findx*ÎCsuch that ∗ ∗ x,x−x≥0,∀x∈C.(1:3) A typical problem is to minimize a quadratic function over the set of the fixed points of a nonexpansive mapping on a real Hilbert spaceH 1 minx∈CAx,x − x,u,(1:4) 2 whereCis the fixed point set of a nonexpansive mappingTonHanduis a given point inH. In 2001, Yamada [10] introduced a hybrid steepest descent method for a nonexpan sive mappingTas follows: xn+1=Txn−µλnF(Txn),∀n≥0,(1:5)